EconPapers    
Economics at your fingertips  
 

How Useful are DSGE Macroeconomic Models for Forecasting?

Michael Wickens

No 9049, CEPR Discussion Papers from Centre for Economic Policy Research

Abstract: We find that forecasts from DSGE models are not more accurate than either times series models or official forecasts, but neither are they any worse. We also find that all three types of forecast failed to predict the recession that started in 2007 and continued to forecast poorly even after the recession was known to have begun. We investigate why these results occur by examining the structure of the solution of DSGE models and compare this with pure time series models. We show that the main factor is the dynamic structure of DSGE models. Their backward-looking dynamics gives them a similar forecasting structure to time series models and their forward-looking dynamics, which consists of expected values of future exogenous variables, is difficult to forecast accurately. As a result we suggest that DSGE models should not be tested through their forecasting ability.

Keywords: Dsge models; Forecasting; Var models (search for similar items in EconPapers)
JEL-codes: C5 E1 (search for similar items in EconPapers)
Date: 2012-07
New Economics Papers: this item is included in nep-dge and nep-for
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://cepr.org/publications/DP9049 (application/pdf)

Related works:
Journal Article: How Useful are DSGE Macroeconomic Models for Forecasting? (2014) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cpr:ceprdp:9049

Ordering information: This working paper can be ordered from
https://cepr.org/publications/DP9049

Access Statistics for this paper

More papers in CEPR Discussion Papers from Centre for Economic Policy Research 33 Great Sutton Street, London EC1V 0DX, UK.
Bibliographic data for series maintained by CEPR ().

 
Page updated 2026-05-19
Handle: RePEc:cpr:ceprdp:9049